[目的/意义]旨在识别影响政府数据开放（Open Government Data，OGD）企业应用创新行为的影响因素，并揭示背后的驱动机制，为激发企业创新活力、推动我国数字经济发展提供理论依据与实践启示。[方法/过程]基于TOE框架，初步确定OGD中企业应用创新行为的影响因素。结合“羊—草生态系统”多智能体模型，在NetLogo平台构建OGD中企业应用创新行为的多智能体模型，依次对影响因素的驱动作用和效力进行仿真实验。[结果/结论]企业应用创新行为受到政府开放数据资源建设水平、企业应用创新准备度和市场需求的驱动，对应着数据要素赋能机制、创新准备推动机制和市场需求催化机制。在OGD的演进过程中，各影响因素的驱动效力呈动态演化。

[Purpose/significance] This study aims to identify the influencing factors of enterprise application innovation behavior in Open Government Data (OGD) and to uncover the underlying driving mechanisms, thereby providing a theoretical foundation and practical insights for stimulating enterprise application innovation and advancing China's digital economy. [Method/process] Based on the TOE framework, this study preliminarily identifies the influencing factors of enterprise application innovation behavior in OGD. Integrating the "sheep-grass ecosystem" multi-agent model, a multi-agent model of enterprise application innovation behavior in OGD is constructed on the NetLogo platform. Simulation experiments are conducted sequentially to assess the driving effects and efficacy of these factors. [Result/conclusion] Enterprise application innovation behavior is driven by the level of government open data resource development, enterprise application innovation readiness, and market demand. These correspond to the data element empowerment mechanism, innovation readiness promotion mechanism, and market demand catalysis mechanism, respectively. Moreover, throughout the development of OGD, the efficacy of each influencing factor evolves dynamically.